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What is TrulyNatural?

Sensory is a pioneer in the realm of embedded neural network-enabled speech recognition, positioning itself as a top player in the creation and refinement of speech recognition software that functions effectively on minimal resources and low MIPS consumption. Their rich experience and continuous advancements have led to the development of the first embedded large vocabulary continuous-speech recognizer (LVCSR), which competes with the performance of cloud-based alternatives. Unlike typical voice recognition systems in smartphones and mobile devices—such as those using voice assistants like Alexa, Google Assistant, Siri, and Cortana—Sensory’s technology is built directly into devices, negating the need for a Wi-Fi connection. Many users favor solutions that operate independently of cloud services for superior speech recognition, while others seek a hybrid model that merges both client and cloud functionalities for enhanced performance. As privacy, efficiency, and bandwidth concerns mount, there is an increasing inclination toward edge processing, thus amplifying Sensory’s importance in the industry. This trend not only boosts functionality but also meets the demand for improved user control over personal data, making Sensory's innovations more significant than ever. Ultimately, the company's commitment to advancing speech recognition technology positions it as a crucial player in a rapidly evolving market.

What is Sensory Wake Word?

Sensory's Wake Word technology represents a state-of-the-art solution for embedded voice-trigger applications, allowing for efficient and low-energy detection of "hotwords" in voice interfaces that are always active. This innovative system comes with pre-defined wake words, ensuring swift deployment while delivering reliable performance even in loud and difficult settings. It is designed with a small resource requirement, needing only about 30-40KB of code on digital signal processors, and operates continuously and privately without dependence on cloud infrastructure. The technology is built to effectively reject background noise, making it suitable for deployment on multiple platforms, including Windows, Linux, Android, macOS, and real-time operating systems. It supports a variety of processing architectures, such as ARM Cortex-M, Cirrus ADSP2, CEVA Teaklite, and Tensilica Hifi. With a rich history spanning over three decades in embedded voice AI and having distributed billions of devices to prominent customers like Amazon, Apple, Google, BMW, Microsoft, and Samsung, this technology exemplifies its proven reliability and performance. Additionally, developers benefit from the ability to quickly design and test personalized wake word models in just a few hours via Sensory's intuitive VoiceHub self-service portal, allowing for the enhancement of their projects with custom voice recognition features, which is crucial in the rapidly evolving tech landscape. Ultimately, this combination of versatility and user-friendliness positions Sensory's Wake Word technology as a leading choice for developers seeking robust voice interaction solutions.

Media

Media

No images available

Integrations Supported

Nok Nok S3 Authentication

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Sensory

Date Founded

1994

Company Location

United States

Company Website

www.sensory.com/natural-language-understanding/

Company Facts

Organization Name

Sensory, Inc.

Date Founded

1994

Company Location

United States

Company Website

sensory.com

Categories and Features

Speech Recognition

Audio Capture
Automatic Transcription
Multi-Languages
Speech-to-Text Analysis
Voice Recognition

Categories and Features

Speech Recognition

Not specified

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